Potential predictors of severe course and outcome of community-acquired pneumonia.

Severe pneumonia is a condition with a high risk of death and mandatory hospitalization in the intensive care unit. The incidence of severe pneumonia has increased dramatically during the pandemic of new coronavirus infection. Timely diagnosis and early initiation of adequate treatment of severe pneumonia are crucial for improving survival of critically ill patients. The aim of this review was to analyze published scientific research on molecular markers that allow to objectively assess the severity of pneumonia and to determine treatment tactics based on the predicted outcome upon admission to the hospital. A systematic search was conducted in the electronic databases PubMed, Medline, Web of Science for the period 2019 - 2022. Conclusion. The review focuses on the prognostic role of a number of markers of immune response, vascular transformation, as well as angiotensin II and angiotensin converting enzyme-2. Further prospective studies of potential predictors of severe pneumonia will enable using marker molecules in a comprehensive clinical and laboratory diagnosis for early prediction of the hospitalized patient's condition and expected outcome.Copyright © Volchkova E.V. et al., 2023.

Impact of IL-35 and Presepsin on Immunological, Hematological, and Biochemical Parameters in COVID-19 Patients

Backgrounds: Immune-inflammatory responses appear to play a key role in severe SARS-CoV-2 infections. Interleukin-35 (IL-35) and presepsin (PSN) are inhibitory cytokine and pro-inflammatory interleukin, which play a crucial role in the immune system modulation, respectively. Therefore, the study of IL-35 and PSN interaction with other parameters may be critical for managing patients with COVID-19. Material(s) and Method(s): A total of 125 severe/critical COVID-19 patients and 60 healthy persons as a control group were enrolled in this work. These patients were admitted to Marjan medical city and Al-Sadeq hospital in Iraq during February to August 2022 and diagnosed as severe cases depending on the SpO2 percentage according to the guidelines released by the National Health World. Anti-and pro-inflammatory cytokines (IL-35 and PSN) were detected by ELISA technique. Finding(s): Presepsin showed a positive correlation with admission to the respiratory care unit (RCU) (r=.022, p=.011). A negative correlation was found between presepsin and C-reactive protein (CRP) (r=.21, p=.018). Both PSN and IL-35 in biochemical tests showed a positive strong effect on glucose levels in COVID-19 patients (r=.234, p=.008 and r=.241, p=.007, respectively). IL-35 had a positive impact on alkaline phosphatase (ALP) (r=.28, p=.002). Hemoglobin (Hb) level showed a positive correlation with presepsin (r=.2, p=.02). Conclusion(s): This study confirms the growing evidence showing the direct role of regulatory pro-inflammatory cytokines in the development and control of COVID-19 through the interaction with other parameters.Copyright © 2023, TMU Press.

Potential predictors of severe course and outcome of community-acquired pneumonia

Severe pneumonia is a condition with a high risk of death and mandatory hospitalization in the intensive care unit. The incidence of severe pneumonia has increased dramatically during the pandemic of new coronavirus infection. Timely diagnosis and early initiation of adequate treatment of severe pneumonia are crucial for improving survival of critically ill patients. The aim of this review was to analyze published scientific research on molecular markers that allow to objectively assess the severity of pneumonia and to determine treatment tactics based on the predicted outcome upon admission to the hospital. A systematic search was conducted in the electronic databases PubMed, Medline, Web of Science for the period 2019 – 2022. Conclusion. The review focuses on the prognostic role of a number of markers of immune response, vascular transformation, as well as angiotensin II and angiotensin converting enzyme-2. Further prospective studies of potential predictors of severe pneumonia will enable using marker molecules in a comprehensive clinical and laboratory diagnosis for early prediction of the hospitalized patient's condition and expected outcome. © Volchkova E.V. et al., 2023.

Potential predictors of severe course and outcome of community-acquired pneumonia.

Severe pneumonia is a condition with a high risk of death and mandatory hospitalization in the intensive care unit. The incidence of severe pneumonia has increased dramatically during the pandemic of new coronavirus infection. Timely diagnosis and early initiation of adequate treatment of severe pneumonia are crucial for improving survival of critically ill patients. The aim of this review was to analyze published scientific research on molecular markers that allow to objectively assess the severity of pneumonia and to determine treatment tactics based on the predicted outcome upon admission to the hospital. A systematic search was conducted in the electronic databases PubMed, Medline, Web of Science for the period 2019 - 2022. Conclusion. The review focuses on the prognostic role of a number of markers of immune response, vascular transformation, as well as angiotensin II and angiotensin converting enzyme-2. Further prospective studies of potential predictors of severe pneumonia will enable using marker molecules in a comprehensive clinical and laboratory diagnosis for early prediction of the hospitalized patient's condition and expected outcome.Copyright © Volchkova E.V. et al., 2023.

Daily combined measurement of platelet count and presepsin concentration can predict in-hospital death of patients with severe coronavirus disease 2019 (COVID-19).

The purpose of this study was to classify patients with severe COVID-19 into more detailed risk groups using coagulation/fibrinolysis, inflammation/immune response, and alveolar/myocardial damage biomarkers, as well as to identify prognostic markers for these patients. These biomarkers were measured every day for eight intensive care unit days in 54 adult patients with severe COVID-19. The patients were classified into survivor (n = 40) and non-survivor (n = 14) groups. Univariate and multivariate analyses showed that the combined measurement of platelet count and presepsin concentrations may be the most valuable for predicting in-hospital death, and receiver operating characteristic curve analysis further confirmed this result (area under the curve = 0.832). Patients were consequently classified into three groups (high-, medium-, and low-risk) on the basis of their cutoff values (platelet count 53 × 103/µL, presepsin 714 pg/mL). The Kaplan-Meier curve for 90-day survival by each group showed that the 90-day mortality rate significantly increased as risk level increased (P < 0.01 by the log-rank test). Daily combined measurement of platelet count and presepsin concentration may be useful for predicting in-hospital death and classifying patients with severe COVID-19 into more detailed risk groups.

Presepsin levels and COVID-19 severity: a systematic review and meta-analysis.

Plasmatic presepsin (PSP) is a novel biomarker reported to be useful for sepsis diagnosis and prognosis. During the pandemic, only few studies highlighted a possible correlation between PSP and COVID-19 severity, but results remain inconsistent. The present study aims to establish the correlation between PSP and COVID-19 severity. English-language papers assessing a correlation between COVID-19 and PSP from MEDLINE, PubMed, Google Scholar, Cochrane Library, MeSH, LitCovid NLM, EMBASE, CINAHL Plus and the World Health Organization (WHO) website, published from January 2020 were considered with no publication date limitations. Two independent reviewers performed data abstraction and quality assessment, and one reviewer resolved inconsistencies. The protocol was registered on PROSPERO (CRD42022325971).Fifteen articles met our eligibility criteria. The aggregate study population included 1373 COVID-19 patients who had undergone a PSP assessment. The random-effect meta-analysis was performed in 7 out of 15 selected studies, considering only those reporting the mean PSP levels in low- and high-severity cases (n = 707).The results showed that the pooled mean difference of PSP levels between high- and low-severity COVID-19 patients was 441.70 pg/ml (95%CI: 150.40-732.99 pg/ml).Our data show that presepsin is a promising biomarker that can express COVID-19 severity.

Prognostic Utility of Procalcitonin, Presepsin, and the VACO Index for Predicting 30-day Mortality in Hospitalized COVID-19 Patients.

BACKGROUND: Biomarkers and clinical indices have been investigated for predicting mortality in patients with coronavirus disease (COVID-19). We explored the prognostic utility of procalcitonin (PCT), presepsin, and the Veterans Health Administration COVID-19 (VACO) index for predicting 30-day-mortality in COVID-19 patients. METHODS: In total, 54 hospitalized COVID-19 patients were enrolled. PCT and presepsin levels were measured using the Elecsys BRAHMS PCT assay (Roche Diagnostics GmbH, Mannheim, Germany) and HISCL Presepsin assay (Sysmex, Kobe, Japan), respectively. The VACO index was calculated based on age, sex, and comorbidities. PCT and presepsin levels and the VACO index were compared using ROC curve, Kaplan-Meier method, and reclassification analysis for the 30-day mortality. RESULTS: ROC curve analysis was used to measure PCT and presepsin levels and the VACO index to predict 30-day mortality; the optimal cut-off values were 0.138 ng/mL for PCT, 717 pg/mL for presepsin, and 12.1% for the VACO index. On Kaplan-Meier survival analysis, hazard ratios (95% confidence interval) were 15.9 (4.1-61.3) for PCT, 26.3 (6.4-108.0) for presepsin, and 6.0 (1.7-21.1) for the VACO index. On reclassification analysis, PCT and presepsin in addition to the VACO index significantly improved the prognostic value of the index. CONCLUSIONS: This study demonstrated the prognostic utility of measuring PCT and presepsin levels and the VACO index in COVID-19 patients. The biomarkers in addition to the clinical index were more useful than the index alone for predicting clinical outcomes in COVID-19 patients.

Serum stratifin and presepsin as candidate biomarkers for early detection of COVID-19 disease progression.

The prognosis of patients with severe cases of COVID-19 is poor; thus, biomarkers for earlier prediction of COVID-19 progression are vital. We measured levels of five lung injury-related biomarkers, SP-D, KL-6, presepsin, kallistatin and stratifin, in serum samples collected serially during hospitalization from 31 patients with mild/moderate or severe/critical COVID-19 pneumonia, and their predictive performances were compared. Like the previously reported presepsin, a new biomarker candidate, stratifin, was significantly elevated with the onset of severe or critical symptoms in COVID-19 patients and decreased with symptom improvement. Notably, changes in stratifin and presepsin levels were distinctly earlier than those in SP-D, KL-6 and even SpO2/FiO2 values. Furthermore, serum levels of these biomarkers were significantly higher at the pre-severe stage (before the start of oxygen support) of patients who eventually advanced to severe/critical stages than in the patients who remained at the mild/moderate stage. These results were confirmed in an independent cohort, including 71 mild/moderate and 14 severe/critical patients, for whom the performance of stratifin and presepsin in discriminating between mild/moderate and pre-severe conditions of COVID-19 patients was superior to that of the SpO2/FiO2 ratio. Therefore, we concluded that stratifin and presepsin could be used as prognostic biomarkers for severe COVID-19 progression.

Predictive Values of Procalcitonin and Presepsin for Acute Kidney Injury and 30-Day Hospital Mortality in Patients with COVID-19.

Background and Objectives: Acute kidney injury (AKI) is a common complication in patients with coronavirus disease 2019 (COVID-19). We investigated the values of procalcitonin (PCT) and presepsin (PSS) for predicting AKI and 30-day hospital mortality in patients with COVID-19. Materials and Methods: We retrospectively evaluated 151 patients with COVID-19 who were admitted to the hospital via the emergency department. The diagnosis of AKI was based on the Kidney Disease: Improving Global Outcomes clinical practice guidelines. Results: The median patient age was 77 years, and 86 patients (57%) were male. Fifty-six patients (37.1%) developed AKI, and 19 patients (12.6%) died within 30 days of hospital admission. PCT and PSS levels were significantly higher in patients with AKI and non-survivors. The cutoff values of PCT levels for predicting AKI and mortality were 2.26 ng/mL (sensitivity, 64.3%; specificity, 89.5%) and 2.67 ng/mL (sensitivity, 68.4%; specificity, 77.3%), respectively. The cutoff values of PSS levels for predicting AKI and mortality were 572 pg/mL (sensitivity, 66.0%; specificity, 69.1%) and 865 pg/mL (sensitivity, 84.6%; specificity, 76.0%), respectively. Conclusion: PCT and PSS are valuable biomarkers for predicting AKI and 30-day hospital mortality in patients with COVID-19.

Antimicrobial Stewardship Using Biomarkers: Accumulating Evidence for the Critically Ill.

This review aims to summarize current progress in the management of critically ill, using biomarkers as guidance for antimicrobial treatment with a focus on antimicrobial stewardship. Accumulated evidence from randomized clinical trials (RCTs) and observational studies in adults for the biomarker-guided antimicrobial treatment of critically ill (mainly sepsis and COVID-19 patients) has been extensively searched and is provided. Procalcitonin (PCT) is the best studied biomarker; in the majority of randomized clinical trials an algorithm of discontinuation of antibiotics with decreasing PCT over serial measurements has been proven safe and effective to reduce length of antimicrobial treatment, antibiotic-associated adverse events and long-term infectious complications like infections by multidrug-resistant organisms and Clostridioides difficile. Other biomarkers, such as C-reactive protein and presepsin, are already being tested as guidance for shorter antimicrobial treatment, but more research is needed. Current evidence suggests that biomarkers, mainly procalcitonin, should be implemented in antimicrobial stewardship programs even in the COVID-19 era, when, although bacterial coinfection rate is low, antimicrobial overconsumption remains high.

The Role of Presepsin in Predicting Severe Coronavirus Disease-2019 Pneumonia Prognosis

Introduction: There are several biomarkers to predict disease severity in Coronavirus disease-2019 (COVID-19);however, more precise biomarkers are still needed to evaluate the disease course. This study aimed to evaluate a potential biomarker, a soluble cluster of differentiation 14 subtype (sCD14-ST, Presepsin), to predict the disease prognosis in severe COVID-19 pneumonia. Methods: This study included 60 randomly selected patients, whose diagnosis was confirmed with severe acute respiratory syndrome-coronavirus-2 nucleic acid reverse transcription-polymerase chain reaction and who were hospitalized with severe COVID-19 pneumonia, and 25 healthy controls. All patients' clinical and laboratory data were recorded. On day 1 after admission, venous blood samples were tested for C-reactive protein (CRP), procalcitonin, fibrinogen, hemogram, presepsin, and other laboratory tests (creatinine, aspartate aminotransferase, alanine transaminase, creatine kinase, lactate dehydrogenase, and electrolytes). Mortality rate, intubation rate, and duration of continuous O2 treatment were recorded. Results were evaluated with Statistical Package for the Social Sciences. Results: This study included 60 patients with COVID-19 infection as the patient group and 25 participants in the control group, with a total of 85 participants. The mean presepsin levels were significantly higher in the patient group compared to the control group (1.483±0.147 ng/mL vs 0.873±0.103 ng/mL). Presepsin levels had a weak positive correlation with CRP levels and a strong correlation with procalcitonin levels and creatinine levels. In the patient group, 53 participants have recovered and were discharged, whereas 7 died. No significant difference was found for the presepsin levels in recovering and dying patients in the patient group. Conclusion: New biomarkers are needed to predict prognosis and mortality in severe COVID-19. Presepsin might be promising to predict disease severity in patients with severe COVID-19, especially in special groups, such as patients with chronic renal failure. [ FROM AUTHOR] Copyright of Istanbul Medical Journal is the property of Galenos Yayinevi Tic. LTD. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Could presepsin be an alternative marker in the early diagnosis of sepsis in COVID-19?

In critical patients with Coronavirus Disease (COVID-19), we investigated the diagnostic value of presepsin in the early diagnosis of superinfection with sepsis, and the effect of antibiotic treatment (AT) in the levels of presepsin and procalcitonin and C-reactive protein. A total of 68 critical patients with sepsis and septic shock in the intensive care unit and 20 outpatients (control group) with COVID-19 were taken. ICU patients (n = 68) were further divided into three groups. C(-)AT(-) had negative blood or tracheal aspirate cultures (C) and not AT on admission to ICU (n = 18), C(-)AT(+) had negative C and AT on admission to intensive care unit (n = 31) and C(+) had positive C (n = 19). Presepsin, procalcitonin, C-reactive protein results were compared between the groups. There were no significant relationships between presepsin levels with sepsis, septic shock, mortality, or length of stay in ICU in patients with COVID-19. For procalcitonin and C-reactive protein levels in C(-)AT(+) and C(+) groups were significantly higher than in control and C(-)AT(-) groups (p < .001). C-reactive protein levels in C(-)AT(-) group were significantly higher than in the control group (p < .001). PCT and CRP, there was no difference between C(-)AT(+) and C(+) groups, and procalcitonin there was no difference between control and C(-)AT(-) groups. Presepsin was not found as a useful biomarker for the prediction of sepsis in COVID-19 patients. These study findings indicate that procalcitonin and C-reactive protein may be an indicator of an early diagnostic marker for superinfection in critical COVID-19 patients.

Diagnostic value of novel presepsin and inflammatory biomarkers in predicting the clinical course of covid-19

Aim: The diagnostic value of inflammatory markers to determine the severity of Coronavirus disease-2019 (COVID-19) is postulated in some recent studies, but conclusions were inconsistent. Hence, we intend to examine the utility of presepsin, procalcitonin and C-reactive protein in predicting the severity of COVID-19 infection. Methods: Single-center cross-sectional study was undertaken at the Intensive care unit of a university hospital. Eighty consecutive cases diagnosed with Severe Acute Respiratory syndrome-Coronavirus-2 RNA between October 2020 and July 2021 were classified according to the severity of the disease. Laboratory data related to Procalcitonin and C-reactive protein was retrieved from investigations coinciding with the day of admission. The stored plasma was subjected to an enzyme-linked immunosorbent assay to determine plasma presepsin levels. Statistical test for measures of screening was employed and a receiver operator curve was generated. Results: We have determined that presepsin is the most sensitive prognostic indicator (93.3%) with a strong statistical association (p<0.001) for COVID-19. 15.99 ng/L could be used as a reference level to predict the progressive clinical course. Relatively lower sensitivity (88%) and positive statistical correlation (p=0.049) of C-reactive protein with high-risk infection were also observed. Procalcitonin showed limited diagnostic and prognostic value in our series. Conclusion: Our findings seem to demonstrate the role of presepsin in providing prognostic information in COVID-19 patients. Therefore, we suggest that early monitoring of presepsin with routine marker profile might help in identifying patients suffering from a more severe disease. © 2021 by The Medical Bulletin of Ístanbul Haseki Training and Research Hospital The Medical Bulletin of Haseki published by Galenos Yayınevi.

Endothelial, Immunothrombotic, and Inflammatory Biomarkers in the Risk of Mortality in Critically Ill COVID-19 Patients: The Role of Dexamethasone.

Endothelial dysfunction, coagulation and inflammation biomarkers are increasingly emerging as prognostic markers of poor outcomes and mortality in severe and critical COVID-19. However, the effect of dexamethasone has not been investigated on these biomarkers. Hence, we studied potential prognostic biomarkers of mortality in critically ill COVID-19 patients who had either received or not dexamethasone. Biomarker serum levels were measured on intensive care unit (ICU) admission (within 24 h) in 37 dexamethasone-free and 29 COVID-19 patients who had received the first dose (6 mg) of dexamethasone. Receiver operating characteristic (ROC) curves were generated to assess their value in ICU mortality prediction, while Kaplan-Meier analysis was used to explore associations between biomarkers and survival. In the dexamethasone-free COVID-19 ICU patients, non-survivors had considerably higher levels of various endothelial, immunothrombotic and inflammatory biomarkers. In the cohort who had received one dexamethasone dose, non-survivors had higher ICU admission levels of only soluble (s) vascular cell adhesion molecule-1 (VCAM-1), soluble urokinase-type plasminogen activator receptor (suPAR) and presepsin. As determined from the generated ROC curves, sVCAM-1, suPAR and presepsin could still be reliable prognostic ICU mortality biomarkers, following dexamethasone administration (0.7 < AUC < 0.9). Moreover, the Kaplan-Meier survival analysis showed that patients with higher than the median values for sVCAM-1 or suPAR exhibited a greater mortality risk than patients with lower values (Log-Rank test, p < 0.01). In our single-center study, sVCAM-1, suPAR and presepsin appear to be valuable prognostic biomarkers in assessing ICU mortality risk in COVID-19 patients, even following dexamethasone administration.

Presepsin as a Predictive Biomarker of Severity in COVID-19: A Systematic Review.

BACKGROUND: The aim of this review is to evaluate the global scientific literature on the utility of plasma presepsin (PSP) as a prognostic biomarker in a homogeneous group of coronavirus disease 2019 (COVID-19) positive cases. DATA RETRIEVAL: A systematic review utilizing Medline (PubMed interface), LitCovid NLM, World Health Organization (WHO)-global literature on coronavirus disease, and EBSCO CINAHL Plus was undertaken. The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) group guidelines. The quality of individual evidence and possible risk of bias were assessed using the Quality in Prognosis Studies (QUIPS) tool. A narrative synthesis-based conclusion was compiled. RESULTS: A total of three articles passed through the predefined screening criteria and were included in the review. Methodological quality was evaluated to be acceptable. The aggregate study population was summed up to be 167 COVID-19 positive cases, who had undergone analysis of plasma PSP levels for the prediction of severity and mortality. Based on different PSP cutoffs utilized, a statistically significant association between PSP and COVID-19 severity was reported. CONCLUSION: PSP appears as a promising prognostic biomarker of COVID-19 progression. As data are scarce on its utility, large cross-sectional studies are needed. HOW TO CITE THIS ARTICLE: Ahmed S, Mansoor M, Shaikh MS, Siddiqui I. Presepsin as a Predictive Biomarker of Severity in COVID-19: A Systematic Review. Indian J Crit Care Med 2021;25(9):1051-1054.

Simple prognostic factors and change of inflammatory markers in patients with severe coronavirus disease 2019: a single-center observational study.

AIM: The aim of this study was to investigate the prognostic factors and evaluate the change in inflammatory markers of patients with coronavirus disease 2019 (COVID-19) requiring mechanical ventilation. METHODS: This retrospective observational study conducted from April 1, 2020, to February 18, 2021, included 97 adult patients who required mechanical ventilation for severe COVID-19 pneumonia and excluded nonintubated patients with a positive COVID-19 polymerase chain reaction test and those who had any obvious bacterial infection on admission. All patients were followed up to discharge or death. We obtained clinical information and laboratory data including levels of presepsin, interleukin-6, procalcitonin, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody every day. Poor outcome was defined as death or receiving a tracheostomy during hospitalization, and favorable outcome was defined as discharge after extubation. RESULTS: Differences (median [interquartile range]) were detected in age (76 [70-82] versus 66 [55-74] years), day from the onset of first symptoms to admission for mechanical ventilation (5 [3-7] versus 10 [8-12] days), and P/F ratio (i.e., ratio of arterial oxygen concentration to the fraction of inspired oxygen) after intubation (186 [149-251] versus 236 [180-296]) in patients with poor outcome versus those with favorable outcome on admission. Serum SARS-CoV-2 antibody levels had already increased on admission in patients with favorable outcome. We determined the day from the onset of first symptoms to admission for mechanical ventilation to be one of the independent prognostic factors of patients with COVID-19 (adjusted odds ratio 0.69, confidence interval 0.56-0.85). CONCLUSION: These results may contribute to understanding the mechanism of progression in severe COVID-19 and may be helpful in devising an effective therapeutic strategy.

Circulating furin, IL-6, and presepsin levels and disease severity in SARS-CoV-2-infected patients.

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a vast number of infections and deaths that deeply affect the world. When the virus encounters the host cell, it binds to angiotensin-converting enzyme 2, then the S protein of the virus is broken down by the transmembrane protease serine 2 with the help of furin, allowing the virus to enter the cell. The elevated inflammatory cytokines suggest that a cytokine storm, also known as cytokine release syndrome, may play a major role in the pathology of COVID-19. Therefore, the aim of this study is to investigate the relationship between circulating furin levels, disease severity, and inflammation in patients with SARS-CoV-2. A total of 52 SARS-CoV-2 patients and 36 healthy control participants were included in this study. SARS- CoV-2 patients were scored by the disease activity score. Serum furin, presepsin, and interleukin-6 (IL-6) levels were assessed using an enzyme-linked immunosorbent assay. The mean furin, presepsin, and IL-6 levels were significantly higher in the peripheral blood of SARS-CoV-2 compared to the controls (p < 0.001). There were close positive relationship between serum furin and IL-6, furin and presepsin, and furin and disease severity (r = 0.793, p < 0001; r = 0.521, p < 0.001; and r = 0,533, p < 0.001, respectively) in patients with SARS-CoV-2. These results suggest that furin may contribute to the exacerbation of SARS-CoV-2 infection and increased inflammation, and could be used as a predictor of disease severity in COVID-19 patients.

New Insights in Laboratory Testing for COVID-19 Patients: Looking for the Role and Predictive Value of Human epididymis secretory protein 4 (HE4) and the Innate Immunity of the Oral Cavity and Respiratory Tract.

COVID-19 is a viral pandemic caused by the new coronavirus SARS-CoV-2, an enveloped positive stranded RNA virus. The mechanisms of innate immunity, considered as the first line of antiviral defense, is essential towards viruses. A significant role in host defense of the lung, nasal and oral cavities is played by Human epididymis secretory protein 4 (HE4) HE4 has been demonstrated to be serum inflammatory biomarker and to show a role in natural immunity at the level of oral cavity, nasopharynx and respiratory tract with both antimicrobial/antiviral and anti-inflammatory activity. Several biomarkers like IL-6, presepsin (PSP), procalcitonin (PCT), CRP, D-Dimer have showed a good function as predictor factors for the clinical evolution of COVID-19 patients (mild, severe and critical). The aim of this study was to correlate the blood levels of CRP, IL-6, PSP, PCT, D-Dimer with He4, to identify the predictive values of these biomarkers for the evolution of the disease and to evaluate the possible role of HE4 in the defense mechanisms of innate immunity at the level of oral cavity, nasopharynx and respiratory tract. Of 134 patients admitted at COVID hospital of Policlinico-University of Bari, 86 (58 men age 67.6 ± 12.4 and 28 women age 65.7 ± 15.4) fulfilled the inclusion criteria: in particular, 80 patients (93%) showed prodromal symptoms (smell and/or taste dysfunctions) and other typical clinical manifestations and 19 died (13 men age 73.4 ± 7.7 and 6 women age 74.8 ± 6.7). 48 patients were excluded because 13 finished chemotherapy and 6 radiotherapy recently, 5 presented suspected breast carcinoma, 5 suspected lung carcinoma, 6 suspected ovarian carcinoma or ovary cyst, 1 cystic fibrosis, 3 renal fibrosis and 9 were affected by autoimmune diseases in treatment with monoclonal antibodies. The venous sample was taken for each patient on the admission and during the hospital stay. For each patient, six measurements relating to considered parameters were performed. Significant correlations between He4 and IL-6 levels (r = 0.797), between He4 and PSP (r = 0.621), between He4 and PCT (r = 0.447), between He4 and D-Dimer (r = 0.367), between He4 and RCP (r = 0.327) have been found. ROC curves analysis showed an excellent accuracy for He4 (AUC = 0.92) and IL-6 (AUC = 0.91), a very good accuracy for PSP (AUC = 0.81), a good accuracy for PCT (AUC = 0.701) and D-Dimer (AUC = 0.721) and sufficient accuracy for RCP (AUC = 0.616). These results demonstrated the important correlation between He4, IL6 and PSP, an excellent accuracy of He4 and IL6 and showed a probable role of He4 in the innate immunity in particularly at the level of oral cavity, nasopharynx and respiratory tract. Besides He4 together with IL6 might be involved in the onset of smell and/or taste disorders and it might be used as innovative biomarker to monitor clinical evolution of COVID-19 because He4 could indicate a multi-organ involvement.

Presepsin in risk stratification of SARS-CoV-2 patients.

BACKGROUND: A severe form of pneumonia, is the leading complication of the respiratory Coronavirus disease 2019 (COVID-19), recently renamed SARS-CoV-2. Soluble cluster of differentiation (CD)14 subtype (sCD14-ST also termed presepsin PSP) is a regulatory factor that modulates immune responses by interacting with T and B cells, useful for early diagnosis, prognosis and risk stratification prediction. METHODS: In 75 consecutive patients suffering from COVID-19 microbiology proven infection, admitted to intensive care unit (ICU, n = 21, 28%) and/or in infectious disease ward (IW, n = 54, 72%), PSP (Pathfast, Mitsubishi, Japan) has been measured in addition to routine laboratory tests performed during the period of hospitalization (from January to March 2020). RESULTS: PSP demonstrates: -statistically significant higher values (Mann-Whitney test) in 6 patients died (median, IQR = 1046, 763-1240; vs 417, 281-678 ng/L, p < 0.05); -statistically significant but poor correlations with CRP (r = 0.59, p < 0.001), LDH (r = 0.52, p < 0.001) and PCT (r = 0.72, p < 0.001) measured at the same day; -a significant relationship between concentrations and ICU stay. In fact patients showing PSP values higher than 250 ng/L (cut-off for risk stratification) did stay in ICU for a significantly longer time (median 17 days, IQR 12-31; p < 0.001) than those exhibiting lower values (median 10 days, IQR 7-18). CONCLUSIONS: The data obtained seems to demonstrate the role of PSP in providing prognostic information in COVID-19 patients, allowing to identify, during the early phase of the monitoring, the patients suffering from a more severe disease which will be hospitalized for a more long time.